mentor medical systems canada jobs
- Amazon Development Centre Canada ULCVancouver, BC
- $195,900–$327,200 a year
- Full-time
- Paid time off
- Vision care
- Dental care
- Profit sharing
- RRSP
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Actively mentor and develop other scientists, and raise the bar in hiring.
- Amazon Development Centre Canada ULCVancouver, BC
- $114,800–$191,800 a year
- Full-time
- Paid time off
- Vision care
- Dental care
- Profit sharing
- RRSP
- As a senior member of the team, you'll also mentor junior engineers, sharing your expertise in AI system design and best practices.
View similar jobs with this employerAmazon Canada Fulfillment Services, ULC - B85Barrhaven, ON- $70,200–$83,000 a year
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View similar jobs with this employerAmazon Canada Fulfillment Services, ULC - B85Barrhaven, ON- $70,200–$83,000 a year
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View similar jobs with this employerAmazon Canada Fulfillment Services, ULC - B85Winnipeg, MB- $30.57 an hour
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- UBC Faculty of ForestryVancouver, BC
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Service Manager
Easily applyVanee Farm Centre IncBrooks, AB- From $90,000 a year
- Full-time
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- Life insurance
- RRSP match
- RRSP
- Extended health care
- Train and mentor Service department employees.
- Experience with CDK or a similar dealership management system (considered an asset).
Senior Simulation Technologist
Easily applyUrgently hiringSundance CollegeCalgary, AB- Full-time
- Dental care
- Life insurance
- Disability insurance
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7 hires made in past 30 days- Experience with a learning management system such as Moodle, Canvas, D2L Brightspace, or Blackboard.
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- BioSyent Pharma Inc.Mississauga, ON L5N 6M1
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View similar jobs with this employerPro-Western MechanicalNew Brunswick- $20–$41 an hour
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View similar jobs with this employerPlumbing Apprentices & Journeyperson
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- BombardierDorval, QC
- Dental care
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- Employee assistance program
- Insurance plans (Dental, medical, life insurance, disability, and more).
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- BombardierDorval, QC
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- BombardierDorval, QC
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- BombardierDorval, QC
- Dental care
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- BombardierDorval, QC
- Day shift
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- You have knowledge of operating systems and real-time executives.
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Job Post Details
Applied Scientist, Alexa Smart Home - job post
Job details
Pay
- $195,900–$327,200 a year
Job type
- Full-time
Location
Benefits
Pulled from the full job description
- Paid time off
- Vision care
- Dental care
- Profit sharing
- RRSP
Full job description
DESCRIPTION
You will define the research agenda for your area, partner deeply with engineering to bring models into production, and raise the scientific bar
across the broader team. You will work at the intersection of large language models, agentic orchestration, personalization, and real-world heterogeneity across homes, devices, and occupants. This is a hands-on role: you will frame the problems, build the models, guide the system design, and mentor other scientists, while influencing product and technical roadmaps beyond your immediate team.
Key job responsibilities
- Independently identify, frame, and solve ill-defined research problems tied to broad Smart Home problem areas, delivering with limited guidance.
- Define system-level technical requirements and partner with engineering teams to adapt scientific techniques to meet production constraints (latency, cost, reliability), making appropriate tradeoffs.
- Own the science strategy and roadmap for a workstream; anticipate future business and technical requirements.
- Design and run rigorous experimentation and evaluation to validate approaches and quantify customer/business impact.
- Build consensus on scientific approach and best practices across multiple teams; influence product features and technical direction beyond your own team.
- Actively mentor and develop other scientists, and raise the bar in hiring.
- Contribute to the internal and external scientific community through publications, patents, and dissemination of scientific artifacts.
A day in the life
No two days look alike, but the throughline is owning a scientific problem from question to production impact. You might dig into evaluation results to find where the experience falls short, frame a hypothesis, and prototype with LLMs or agentic techniques. You will pair with engineering to turn a promising model into a production-ready design, weighing latency, cost, and reliability tradeoffs. Expect alignment with product managers on customer problems, working sessions with fellow scientists, and time mentoring teammates. Your customers are Alexa smart home users across millions of households; your stakeholders span product, engineering, and partner science teams.
About the team
We are the science team behind Alexa's smart home experience. We are applied scientists and science engineers making the home genuinely intelligent: anticipatory, personalized, and effortless. Our mission is to move Alexa from reacting to commands toward understanding a household's rhythms and acting helpfully on the customer's behalf, reliably and at scale. Because no two homes are alike, we embrace that diversity rather than paper over it. We value research-grounded decisions, hands-on work, and long-horizon bets. Scientists own their areas end-to-end, mentor one another, publish, and partner closely with engineering and product.
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, BC, Vancouver - 195,900.00 - 327,200.00 CAD annually